activity
20202022
most citedLearning Geometric Transformations for Parametric Design: An Augmented Reality (AR)-Powered Approach

7 citations · 26 across the 8 of their papers we have counts for

collaborators

9 papers

cs.HC2022★ 1 cited

An Augmented Reality Application and User Study for Understanding and Learning Spatial Transformation Matrices

Zohreh Shaghaghian, Heather Burte, Dezhen Song +1

Understanding spatial transformations and their mathematical representations are essential in computer-aided design, robotics, etc. This research has developed and tested an Augmen…

cs.HC2022★ 7 cited

BIMxAR: BIM-Empowered Augmented Reality for Learning Architectural Representations

Ziad Ashour, Zohreh Shaghaghian, Wei Yan

Literature review shows limited research investigating the utilization of Augmented Reality (AR) to improve learning and understanding architectural representations, specifically s…

stat.AP2021★ 1 cited

Studying Buildings Outlines to Assess and Predict Energy Performance in Buildings: A Probabilistic Approach

Zohreh Shaghaghian, Fatemeh Shahsavari, Elham Delzendeh

Building performance is commonly calculated during the last phases of design, where most design specifications get fixed and are unlikely to be majorly modified based on design pro…

cs.SD2021

A Machine-learning Framework for Acoustic Design Assessment in Early Design Stages

Reyhane Abarghooie, Zahra Sadat Zomorodian, Mohammad Tahsildoost +1

In time-cost scale model studies, predicting acoustic performance by using simulation methods is a commonly used method that is preferred. In this field, building acoustic simulati…

cs.LG2021★ 1 cited

A machine-learning framework for daylight and visual comfort assessment in early design stages

Hanieh Nourkojouri, Zahra Sadat Zomorodian, Mohammad Tahsildoost +1

This research is mainly focused on the assessment of machine learning algorithms in the prediction of daylight and visual comfort metrics in the early design stages. A dataset was…

cs.HC2021★ 7 cited

Learning Geometric Transformations for Parametric Design: An Augmented Reality (AR)-Powered Approach

Zohreh Shaghaghian, Heather Burte, Dezhen Song +1

Despite the remarkable development of parametric modeling methods for architectural design, a significant problem still exists, which is the lack of knowledge and skill regarding t…

cs.LG2021★ 2 cited

Application of Classification and Feature Selection in Building Energy Simulations

Fatemeh Shahsavari, Zohreh Shaghaghian

Building energy performance is one of the key features in performance-based building design decision making. Building envelope materials can play a key role in improving building e…

cs.HC2021★ 7 cited

Towards Learning Geometric Transformations through Play: An AR-powered approach

Zohreh Shaghaghian, Wei Yan, Dezhen Song

Despite the excessive developments of architectural parametric platforms, parametric design is often interpreted as an architectural style rather than a computational method. Also,…

cs.CV2020

Application of Deep Learning in Generating Desired Design Options: Experiments Using Synthetic Training Dataset

Zohreh Shaghaghian, Wei Yan

Most design methods contain a forward framework, asking for primary specifications of a building to generate an output or assess its performance. However, architects urge for speci…